Schema | Tandoor MCP Server

Tandoor MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
`TANDOOR_URL`	Yes	The URL of your Tandoor instance (e.g., https://your-tandoor-instance.com).
`TANDOOR_API_TOKEN`	Yes	Your Tandoor API token.

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
create_tandoor_recipeB	Create a new recipe in Tandoor.
create_tandoor_meal_planA	Add one or more recipes to the Tandoor meal plan for a specific date and meal type.
get_recipesC	Search for recipes in Tandoor based on various criteria.
get_meal_plansA	Retrieve meal plan entries from Tandoor, optionally filtering by date range and meal type.
get_recipe_detailsA	Retrieve the full details of a specific recipe.
get_meal_typesA	List all available meal types in Tandoor.
get_keywordsC	List or search for keywords.
get_foodsC	List or search for foods.
get_unitsB	List or search for units.
get_shopping_listA	Retrieve the current shopping list items.
add_shopping_list_itemB	Add an item to the shopping list, allowing food/unit names or IDs.
update_shopping_list_itemA	Update an existing shopping list item (e.g., check/uncheck, change amount).
remove_shopping_list_itemB	Remove an item from the shopping list.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/starbuck93/tandoor-mcp-server'

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